Results on DomainNet-LS:
Tab. REF  shows the performance comparison on the DomainNet-LS benchmark.
The SPNet [1]} (for standard ZSL) achieves an average accuracy of \(14.4\) , while its integration with EpiFCR [2]} (a standard DG approach) improves the performance to \(15.4\) . The current state-of-art CuMix [3]} approach for ZSLDG, achieves \(16.5\)  as the average accuracy across the unseen domains. Despite the limited information available during training (and higher domain shift at test time), our approach improves over CuMix by achieving an average accuracy of \(16.9\)  (\(1.6\%\)  relative gain), thereby showing better generalization.
